92 search results - page 5 / 19 » Acting Optimally in Partially Observable Stochastic Domains |
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
IJCAI
2007
14 years 11 months ago
2007
In this paper, we present the agent programming language TEAMGOLOG, which is a novel approach to programming a team of cooperative agents under partial observability. Every agent ...
135
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PAMI
2007
14 years 9 months ago
2007
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
70
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NIPS
2004
14 years 11 months ago
2004
Agents learning to act in a partially observable domain may need to overcome the problem of perceptual aliasing
111
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AAAI
2011
13 years 9 months ago
2011
Sustainable resource management in many domains presents large continuous stochastic optimization problems, which can often be modeled as Markov decision processes (MDPs). To solv...